To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CNVtools")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
This package is meant to facilitate the testing of Copy Number Variant data for genetic association, typically in case-control studies.
Author: Chris Barnes <christopher.barnes at imperial.ac.uk> and Vincent Plagnol <vincent.plagnol at cimr.cam.ac.uk>
Maintainer: Chris Barnes <christopher.barnes at imperial.ac.uk>
Citation (from within R,
enter citation("CNVtools")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CNVtools")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CNVtools")
R Script | Copy Number Variation Tools | |
Reference Manual |
biocViews | GeneticVariability, Software |
Version | 1.70.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (8 years) |
License | GPL-3 |
Depends | R (>= 2.10), survival |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CNVtools_1.70.0.tar.gz |
Windows Binary | CNVtools_1.70.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | CNVtools_1.70.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CNVtools |
Package Short Url | http://bioconductor.org/packages/CNVtools/ |
Package Downloads Report | Download Stats |
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